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American Honda IT to fuel innovation with generative AI

CIO

Generative AI takes a front seat As for that AI strategy, American Honda’s deep experience with machine learning positions it well to capitalize on the next wave: generative AI. The ascendent rise of generative AI last year has applied pressure on CIOs across all industries to tap its potential.

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Unleashing the power of banks’ data with generative AI

CIO

The implications of generative AI on business and society are widely documented, but the banking sector faces a set of unique opportunities and challenges when it comes to adoption. But despite this desire to unleash the full potential of AI, almost half (49%) said they did not fully understand generative AI and its governance needs.

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The generative AI revolution is transforming how banks work

CIO

The generative AI revolution has the power to transform how banks operate. Banks are increasingly turning to AI to assist with a wide range of tasks, from customer onboarding to fraud detection and risk regulation. So, as they leap into AI, banks must first ensure that their data is AI-ready.

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Inside Walmart’s generative AI journey

CIO

“Our people make the difference” — a common catchphrase of Walmart founder Sam Walton — still guides the company’s path forward as it ventures into the future with generative AI. The move places Walmart among a handful of companies (aside from tech giants) that have leveraged generative AI at scale.

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The Executive Guide to Generative AI

Generative AI is taking the world by storm, but the questions that all CEOs, data leaders, and AI leaders are being asked are: What are we going to do about it, and what is our plan? The business and creative possibilities are practically limitless with generative AI.

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Generative AI: the Shortcut to Digital Modernisation

CIO

THE BOOM OF GENERATIVE AI Digital transformation is the bleeding edge of business resilience. Notably, organisations are now turning to Generative AI to navigate the rapidly evolving tech landscape. Notably, organisations are now turning to Generative AI to navigate the rapidly evolving tech landscape.

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Generative AI will profoundly change healthcare operations

CIO

Fast-paced advancements in generative AI will change the core operations of every healthcare organization. AI-driven technology is not just a side project anymore. AI solutions including Generative AI are finally advanced enough to deploy at scale and provide a frictionless customer experience.

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Addressing Top Enterprise Challenges in Generative AI with DataRobot

The buzz around generative AI shows no sign of abating in the foreseeable future. Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments.

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Value-Driven AI: Applying Lessons Learned from Predictive AI to Generative

Speaker: Data Robot

Enterprise AI maturity has evolved dramatically over the past 5 years. Most enterprises have now experienced their first successes with predictive AI, but the pace and scale of impact have too often been underwhelming. Now generative AI has emerged and captivated the minds and imaginations of leaders and innovators everywhere.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.

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A Tale of Two Case Studies: Using LLMs in Production

Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace

We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology. Join our exclusive webinar with top industry visionaries, where we'll explore the latest innovations in Artificial Intelligence and the incredible potential of LLMs.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Putting the right LLMOps process in place today will pay dividends tomorrow, enabling you to leverage the part of AI that constitutes your IP – your data – to build a defensible AI strategy for the future. Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Building User-Centric and Responsible Generative AI Products

Speaker: Shyvee Shi - Product Lead and Learning Instructor at LinkedIn

In the rapidly evolving landscape of artificial intelligence, Generative AI products stand at the cutting edge. This presentation unveils a comprehensive 7-step framework designed to navigate the complexities of developing, launching, and scaling Generative AI products.

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Revolutionizing Contact Centers: Next-Gen Tech for Enhanced CX

Speaker: Liran Meir Frenkel, Performance Management and RPA Sr Product Marketing Manager at NICE; Harpreet Makan, Practice Director at Everest Group; & Santhosh Kumar, Practice Director at Everest Group

Discover a holistic approach across three pillars - people, process, and technology - that is essential to excel in this dynamic landscape, and explore how next-gen technologies such as generative AI, performance analytics, and process intelligence play a pivotal role in transforming contact centers into advanced CX hubs.